کنفرانس بین المللی کنترل ، ابزار دقیق و اتوماسیون

صفحه اصلی / نهمین کنفرانس بین المللی کنترل ، ابزار دقیق و اتوماسیون

Detection of Defective Products in Injection Molding Process Using YOLO-NAS

نویسندگان :

Mohammadreza Asadi¹ Seyedeh Sogand Hashemi² Mohammad Taghi Sadeghi³

1- Yazd University 2- Yazd University 3- Yazd University

کلمات کلیدی :

Deep Learning،Defect Detection،Injection Molding،Machine Vision،YOLO

چکیده :

Injection molding is an important manufacturing process with applications spanning various industries. Modern industry demands quality, efficiency, and environmental sustainability. The advanced injection molding inspection systems (IMIS) provide these requirements by real-time monitoring systems executed based on Industry 4.0 technologies such as IoT, machine vision, and artificial intelligence. This paper introduces an IMIS using YOLO-NAS models as one of the state-of-the-art deep neural networks for real-time object detection, to recognize both complete and defective injected products. Upon defective products detection, the system automatically stops the injection process, ensuring operational safety and product quality. Our evaluation of implemented models based on YOLO-NAS variants (i.e. small, medium, large) for injection molding inspection reveals minor performance differences. The results declare that YOLO-NAS models have a reliable performance on defective products detection in an injection molding machine.

لیست مقالات

لیست مقالات بایگانی شده

Path Planning Design for Autonomous Underwater Vehicles in 3D Environments Avoiding Static Obstacles

Soheil Norouzi - Amirhossein Akhbari - Amir A. Ghavifekr

Fuzzy Logic-Based Uncertainty Analysis of a Sheet Pile Soil Retaining Wall

Negin Sarshar - Ali Derakhshani

طراحی کنترل‌کننده ترکیبی پیش‌بین و تناسبی مشتقی برای تعقیب مسیر توسط کوادکوپتر

علیرضا هونجانی - بهرام تارویردی زاده - محمد شهبازی

Design and implementation of a 3D positioning and control capsule robot using magnetic waves

Hamidreza Mahmoodzadeh - Vahid Johari Majd - Abbas EhsaniSeresht

Image-based Visual Servoing for Dynamic Positioning of a Work-class ROV with Depth Computation

Ali Nourmohammadi - Mehdi Loueipour - Alireza Hosseinnajad

طراحی و ساخت دستگاه جایگذاری پالت با رویکرد اتوماسیون سازی انتهای خطوط تولید

محمدهادی کلائی - امیر تذکاری - مرتضی سیاح ایرانی - سید کمال حسینی ثانی

State-Dependent LMI-Based Controller and Observer Design for Constrained Boiler-Turbine-Generator Using Pseudo-Linearization Technique

Nasrin Kalamian - Atiyeh Keshavarz-Mohammadiyan

بررسی روش های ترکیبی تشخیص و شناسایی عیب مبتنی بر SDG ، نمودار کنترل و مولد باقیمانده در سیستم های کنترلی

امیررضا مرزبند - جواد پشتان

Medium-Term Load Forecasting of Iran Khodro Company using Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) Deep Neural Networks

Mahasta Pahlawan - Roohollah Barzamini - Seyyed Abolfazl Yasini

Control of Mobile Robots Using CLF-CBF-QP in Presence of LOE Fault

َAli Alavi Nasab - Mohammad Hassan Asemani

بیشتر

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 41.3.2